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I’m looking for a seasoned engineer who can jump in as a thought-partner while I build out a set of AI-driven services written in Python (Backend) and TypeScript + React (Front-end). The work is wide-ranging, so the engagement will be structured as ad-hoc consulting sessions plus short, focused code reviews or proof-of-concept implementations whenever I hit a road-block. Here’s what I expect we’ll tackle together: • Algorithm optimisation — from profiling tight loops in Python to squeezing latency out of TypeScript back-ends. • Debugging and troubleshooting thorny runtime issues that slip past unit tests. • Feature development advice, particularly around RAG pipelines, LLM workflows, and agent orchestration. • Deployment guidance: GitHub branching strategies, automated CI/CD, and pragmatic cloud infrastructure choices (containerisation, serverless, etc.). • Secure user-authentication patterns suitable for AI services, plus structured logging and test coverage that won’t crumble under real traffic. Typical session flow 1. I share code snippets or a branch link. 2. You walk me through potential fixes or improvements on a live call or via concise review comments. 3. We wrap up with a short actionable checklist I can implement immediately. Deliverables • Concise recommendations or sample code that cleanly drop into the existing repo. • Clear reasoning behind each suggestion so the decision-making process is documented. • When relevant, a working prototype (Jupyter notebook, small TS module, or CI/CD YAML) that demonstrates the concept. If you’re fluent in both Python and the modern TypeScript ecosystem, keep up with transformer-based stacks, and enjoy teaching as much as coding, let’s set up our first session.
Project ID: 40438075
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Active 5 days ago
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